AI K9 Codee logo Codee PlatformAI K9 Kennel software lane

Downloadable v0.9

Codee becomes the business launch tool people can run.

Codee is the platform layer for turning a business idea into a repeatable service workflow: intake, route scan, plan, build, deliver, verify, report, and hosted trainee/client sync. It works beside the AI tool someone already trusts.

Operating model

One mission umbrella, one tech company, one platform.

Codee should be easy to explain before it becomes large. The structure below keeps revenue, technology, tools, and partner work separated.

Umbrella

INVEST IN VETS Foundation

The mission anchor for homeless and disabled veteran support, training, land goals, and public trust.

Tech company

AI K9 Kennel

The service company building demos, templates, client lanes, automation, scans, and digital products.

Platform

Codee

The downloadable operating layer for intake, commands, route checks, delivery proof, and launch reports.

Network

AI K9 Partners

Builders and mission partners who can use Codee workflows with their preferred AI and business tools.

Platform principles

Codee borrows the useful agent pattern, then makes it business-first.

The first release focuses on repeatable local structure before bigger hosted automation.

Commands

Reusable prompts

  • Mission command
  • Scan command
  • Launch command
  • Partner command
Permissions

Owner-first safety

External sends, payments, destructive cleanup, and sensitive files stay owner-review actions.

Hooks

Verify before launch

Route scans and delivery reports become the proof layer before any page is called ready.

Subagents

AI K9 lanes

Codee, Landee, Sporty, Vault, Relay, Scanner, and future K9s can own clear narrow jobs.

Reports

Proof files

Every workspace gets `.codee/reports/` so progress can be inspected instead of guessed.

Portability

Use any AI

Codee can guide Claude, OpenAI, Gemini, local scripts, or a human operator without locking the client in.

Open-source course layer

Teach the method while Codee sells the supported path.

The public can learn the lane. AI K9 Kennel can still offer the finished version, hosting, scans, delivery rooms, and support memberships.

Course 01

QRCodee

URL, QR image, color direction, center logo, scan proof, and a small landing route.

Course 02

Codee Flyer

Drag one image, write one offer, connect one CTA, place the QR, and export the index file.

Course 03

Codee App

Guidebook cover, app-style page, bullets, checkout or download path, QR return route, and delivery proof.

Membership

Supported hosting

After the student finishes, Codee can host, scan, accept update requests, and keep the delivery room active.

Version one model

Codee is the platform AI K9 Kennel uses in public.

The clean structure is mission umbrella, tech company, platform, courses, services, and support. Codee should help the company run itself while becoming useful to outside builders.

Internal use

AI K9 runs on Codee

Use Codee to build AI K9 pages, QR paths, flyers, apps, delivery rooms, scans, and support requests first.

Public use

Others download Codee

Builders can use the CLI, open-source courses, and Index to Income tool with their preferred AI assistant.

Paid use

Codee support monetizes

Paid lanes cover hosting, delivery rooms, scans, done-for-you builds, memberships, partner seats, and Business Suite packages.

Claude Code interview lesson

Codee should use itself the way serious platform builders use their own tools.

The takeaway from Boris Cherny's Claude Code interview is operational: use the tool internally, run repeatable loops, and make every result inspectable.

Dogfood

AI K9 runs on Codee

Every Codee service should be built, scanned, delivered, and supported through Codee before it is sold as a client workflow.

Loops

Repeatable systems

Codee loops cover intake, course build, route scan, delivery room, support request, and membership renewal.

Generalists

Domain owners build

Veterans and business owners can package what they know into QR, flyer, and app lanes without becoming traditional engineers first.

Proof

Reports over claims

Parallel work only counts when it leaves route checks, packets, delivery-room records, and support requests behind.

Next build path

The platform grows from a CLI into a full Codee workbench.

The order matters: prove local commands, prove scans, then add hosted accounts, partner seats, and client folders.

Now

CLI v0

Download, initialize a workspace, map a first offer, scan routes, request Stripe checkout, and save proof reports.

Next

Partner Pack

Turn AI K9 Partner rules into onboarding files, service templates, and repeatable training.

Later

Codee Workbench

Hosted dashboard for client folders, delivery rooms, billing status, route scans, and support requests.